Triple
T23020339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas A&M University–Commerce Lions |
E573145
|
entity |
| Predicate | primaryLogoSubject |
P150707
|
FINISHED |
| Object | lion |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: lion | Statement: [Texas A&M University–Commerce Lions, primaryLogoSubject, lion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLogoSubject Context triple: [Texas A&M University–Commerce Lions, primaryLogoSubject, lion]
-
A.
primaryLogoTheme
Indicates the main stylistic or visual design theme associated with a logo.
-
B.
logoType
Indicates the specific category or style of a logo associated with an entity (e.g., wordmark, symbol, combination mark).
-
C.
logoName
Indicates the textual name or label associated with a logo.
-
D.
logoColor
Indicates the color or primary color scheme used in an entity’s logo.
-
E.
primaryInstitutionalLogo
Indicates the main official logo associated with an institution in a given context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e8324c81908b8868d298af66e1 |
completed | April 29, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:52 p.m.